text: # Licensed to the Apache Software Foundation (ASF) under one
  # or more contributor license agreements.  See the NOTICE file
  # distributed with this work for additional information
  # regarding copyright ownership.  The ASF licenses this file
  # to you under the Apache License, Version 2.0 (the
  # "License"); you may not use this file except in compliance
  # with the License.  You may obtain a copy of the License at
  #
  #   http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing,
  # software distributed under the License is distributed on an
  # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  # KIND, either express or implied.  See the License for the
  # specific language governing permissions and limitations
  # under the License.
  
  from unittest import mock
  
  import pytest
  from google.cloud.workflows.executions_v1beta import Execution
  
  from airflow.exceptions import AirflowException
  from airflow.providers.google.cloud.sensors.workflows import WorkflowExecutionSensor
  
  BASE_PATH = "airflow.providers.google.cloud.sensors.workflows.{}"
  LOCATION = "europe-west1"
  WORKFLOW_ID = "workflow_id"
  EXECUTION_ID = "execution_id"
  PROJECT_ID = "airflow-testing"
  METADATA = None
  TIMEOUT = None
  RETRY = None
  GCP_CONN_ID = "test-conn"
  IMPERSONATION_CHAIN = None
  
  
  class TestWorkflowExecutionSensor:
      @mock.patch(BASE_PATH.format("WorkflowsHook"))
      def test_poke_success(self, mock_hook):
          mock_hook.return_value.get_execution.return_value = mock.MagicMock(state=Execution.State.SUCCEEDED)
          op = WorkflowExecutionSensor(
              task_id="test_task",
              workflow_id=WORKFLOW_ID,
              execution_id=EXECUTION_ID,
              location=LOCATION,
              project_id=PROJECT_ID,
              retry=RETRY,
              request_timeout=TIMEOUT,
              metadata=METADATA,
              gcp_conn_id=GCP_CONN_ID,
              impersonation_chain=IMPERSONATION_CHAIN,
          )
          result = op.poke({})
  
          mock_hook.assert_called_once_with(
              gcp_conn_id=GCP_CONN_ID,
              impersonation_chain=IMPERSONATION_CHAIN,
          )
  
          mock_hook.return_value.get_execution.assert_called_once_with(
              workflow_id=WORKFLOW_ID,
              execution_id=EXECUTION_ID,
              location=LOCATION,
              project_id=PROJECT_ID,
              retry=RETRY,
              timeout=TIMEOUT,
              metadata=METADATA,
          )
  
          assert result is True
  
      @mock.patch(BASE_PATH.format("WorkflowsHook"))
      def test_poke_wait(self, mock_hook):
          mock_hook.return_value.get_execution.return_value = mock.MagicMock(state=Execution.State.ACTIVE)
          op = WorkflowExecutionSensor(
              task_id="test_task",
              workflow_id=WORKFLOW_ID,
              execution_id=EXECUTION_ID,
              location=LOCATION,
              project_id=PROJECT_ID,
              retry=RETRY,
              request_timeout=TIMEOUT,
              metadata=METADATA,
              gcp_conn_id=GCP_CONN_ID,
              impersonation_chain=IMPERSONATION_CHAIN,
          )
          result = op.poke({})
  
          assert result is False
  
      @mock.patch(BASE_PATH.format("WorkflowsHook"))
      def test_poke_failure(self, mock_hook):
          mock_hook.return_value.get_execution.return_value = mock.MagicMock(state=Execution.State.FAILED)
          op = WorkflowExecutionSensor(
              task_id="test_task",
              workflow_id=WORKFLOW_ID,
              execution_id=EXECUTION_ID,
              location=LOCATION,
              project_id=PROJECT_ID,
              retry=RETRY,
              request_timeout=TIMEOUT,
              metadata=METADATA,
              gcp_conn_id=GCP_CONN_ID,
              impersonation_chain=IMPERSONATION_CHAIN,
          )
          with pytest.raises(AirflowException):
              op.poke({})
  